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DBMS > Apache IoTDB vs. FoundationDB vs. H2 vs. Sadas Engine

System Properties Comparison Apache IoTDB vs. FoundationDB vs. H2 vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonSadas Engine  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkOrdered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websiteiotdb.apache.orggithub.com/­apple/­foundationdbwww.h2database.comwww.sadasengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationFoundationDBThomas MuellerSADAS s.r.l.
Initial release2018201320052006
Current release1.1.0, April 20236.2.28, November 20202.2.220, July 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
All OS with a Java VMAIX
Linux
Windows
Data schemeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlyyesyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesin SQL-layer onlyJava Stored Procedures and User-Defined Functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Linearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBFoundationDBH2Sadas Engine
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